Data Analysis for Audio-Visual Stimuli and Learning Algorithms
A special issue of Data (ISSN 2306-5729).
Deadline for manuscript submissions: closed (5 January 2024) | Viewed by 3038
Special Issue Editors
Interests: visual stimuli
Interests: large-scale ontology management
Interests: light field image processing; machine learning; multimedia processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Most of the information that humans perceive through the sensory organs depends on information obtained from audio-visual stimuli.
For this reason, current artificial intelligence and machine learning algorithms mainly target visual and auditory data.
In addition, continual learning for sequential audio-visual stimuli, as well as supervised learning that requires the pre-construction of learning data, is under investigation as a method of overcoming the limitations of existing artificial intelligence and machine learning algorithms.
This Special Issue aims to provide a comprehensive appraisal of image data processing, audio data processing, video data analysis, and audio-visual data analysis based on data processing for audio-visual stimuli. Further, as a learning method, unsupervised learning and supervised learning are both targeted.
Topics or keywords:
- Image data processing;
- Audio data processing;
- Video data analysis;
- Audio-visual data analysis;
- Deep learning;
- Unsupervised learning;
- Continual learning;
- Memory networks;
- Machine learning;
- Artificial intelligence.
Prof. Dr. Changseok Bae
Dr. Dong-Oh Kang
Dr. Vera Yuk Ying Chung
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Data is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
